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Regan-Komito, D.

Publications and source records attributed to Regan-Komito, D..

2 recordsLinked to original sources

IFNAR1. Neutrophils Orchestrate Chronic Inflammatory Damage Through Mitochondrial Remodeling

Neutrophils are abundant innate effector cells that drive mucosal inflammation, yet the mechanisms by which they contribute to chronic inflammatory diseases across distinct tissues remain incompletely understood. Here, by reanalyzing single-cell RNA-seq datasets from patients with inflammatory bowel disease (IBD) and chronic obstructive pulmonary disease (COPD), we identify a shared neutrophil activation program enriched for type I interferon (IFN) signaling, nuclear factor-{kappa}B (NF-{kappa}B) and AP-1 transcriptional regulators, and effector pathways including NETosis, degranulation, and leukocyte trafficking. To interrogate these signatures, we established a CRISPR-compatible neutrophil differentiation platform from adult CD34 progenitors, which yielded cells closely resembling primary neutrophils at transcriptomic, proteomic, and functional levels. A targeted CRISPR-Cas9 screen revealed a central role for the mitochondrial iron transporter mitoferrin-1 (SLC25A37) in coordinating neutrophil oxidative phosphorylation, NET formation, and type I IFN production downstream of TLR9. Mechanistically, we show that NET-derived citrullinated histones activate an autocrine IFN-IFNAR1 loop, amplifying neutrophil inflammatory functions without impairing phagocytosis. Disruption of this loop, through IFNAR1 depletion or blockade, dampened neutrophil-driven tissue damage in human intestinal and alveolar organoid co-cultures as well as in murine models of colitis and cigarette smoke-induced lung inflammation. These findings uncover a conserved IFN-driven metabolic circuit in neutrophils that underpins pathology across chronic mucosal diseases and identify IFNAR1 as a therapeutic node to selectively disarm neutrophil-mediated tissue injury.

immunology↗

Identifying Spatial Co-occurrence in Healthy and InflAmed tissues (ISCHIA)

Spatial transcriptomics techniques are able to chart the distribution and localization of cell types and RNA molecules across a tissue. Here, we generated matched sequencing-based (Visium) and hybridization-based (Molecular Cartography) spatial transcriptomics data of human IBD samples. We then developed ISCHIA (Identifying Spatial Co-occurrence in Healthy and InflAmed tissues), a computational framework to analyze the spatial co-occurrence of cell types and transcript species in the tissue environment. ISCHIA revealed tightly associated cellular networks, ligand-receptor interactions enriched in the inflamed human colon, and their associated gene signatures, highlighting the hypothesis-generating power of co-occurrence analysis on spatial transcriptomics data.

systems biology↗